Engineering Manager, Identification Accuracy

📋 Description

• Lead and grow a multidisciplinary Identification Accuracy team spanning ML engineers, data
• Own the team’s technical roadmap with stakeholders to improve model quality and address
• Drive measurable model accuracy by designing, training, evaluating, and deploying ML models at
• Oversee production ML systems across data pipelines, feature engineering, model development
• Partner with platform and API teams to meet performance and latency constraints.
• Collaborate with Product and customer teams to translate needs into technical initiatives.

🎯 Requirements

• 5+ years in software, ML, data science, or related field; at least 2 years leading an ML/data
• Proven experience delivering production ML systems from data pipelines to deployment.
• Track record building multidisciplinary teams of engineers, data scientists, analysts, and
• Strong technical understanding of ML and data systems; familiarity with MLOps tools
• Experience with large-scale behavioral/event data in production; hands-on with data stack/analytics
• Ability to work with platform/API teams and understand requirements, dependencies, and latency

🎁 Benefits

• Competitive compensation; for US-based employees, $159,000–$215,000 USD; Poland and other locations
• Fully remote work environment with a globally distributed team.
• Opportunity to lead a multidisciplinary ML and data organization solving challenging problems at
• Exposure to cutting-edge ML, fraud detection, identity, and data technologies.
• High autonomy and influence over technical strategy, team development, and product outcomes.
• Inclusive environment valuing diverse experiences and backgrounds.